RoBMA-package | RoBMA: Robust Bayesian meta-analysis |
Anderson2010 | 27 experimental studies from Anderson et al. (2010) that meet the best practice criteria |
Bem2011 | 9 experimental studies from Bem (2011) as described in Bem et al. (2011) |
check_RoBMA | Check fitted RoBMA object for errors and warnings |
check_setup | Prints summary of '"RoBMA"' ensemble implied by the specified priors |
combine_data | Combines different effect sizes into a common metric |
d2logOR | Effect size transformations |
d2OR | Effect size transformations |
d2r | Effect size transformations |
d2z | Effect size transformations |
diagnostics | Checks a fitted RoBMA object |
dwnorm | Weighted normal distribution |
effect_sizes | Effect size transformations |
forest | Forest plot for a RoBMA object |
interpret | Interprets results of a RoBMA model. |
is.RoBMA | Reports whether x is a RoBMA object |
logOR2d | Effect size transformations |
logOR2OR | Effect size transformations |
logOR2r | Effect size transformations |
logOR2z | Effect size transformations |
n_d | Sample sizes to standard errors calculations |
n_r | Sample sizes to standard errors calculations |
n_z | Sample sizes to standard errors calculations |
OR2d | Effect size transformations |
OR2logOR | Effect size transformations |
OR2r | Effect size transformations |
OR2z | Effect size transformations |
plot.RoBMA | Plots a fitted RoBMA object |
plot_models | Models plot for a RoBMA object |
Poulsen2006 | 5 studies with a tactile outcome assessment from Poulsen et al. (2006) of the effect of potassium-containing toothpaste on dentine hypersensitivity |
print.RoBMA | Prints a fitted RoBMA object |
print.summary.RoBMA | Prints summary object for RoBMA method |
prior | Creates a prior distribution |
prior_informed | Creates an informed prior distribution based on research |
prior_none | Creates a prior distribution |
prior_PEESE | Creates a prior distribution for PET or PEESE models |
prior_PET | Creates a prior distribution for PET or PEESE models |
prior_weightfunction | Creates a prior distribution for a weight function |
pwnorm | Weighted normal distribution |
qwnorm | Weighted normal distribution |
r2d | Effect size transformations |
r2logOR | Effect size transformations |
r2OR | Effect size transformations |
r2z | Effect size transformations |
RoBMA | Estimate a Robust Bayesian Meta-Analysis |
RoBMA.get_option | Options for the RoBMA package |
RoBMA.options | Options for the RoBMA package |
RoBMA.package | RoBMA: Robust Bayesian meta-analysis |
RoBMA_control | Control MCMC fitting process |
RoBMA_options | Options for the RoBMA package |
RoBMA_package | RoBMA: Robust Bayesian meta-analysis |
rwnorm | Weighted normal distribution |
sample_sizes | Sample sizes to standard errors calculations |
set_autofit_control | Control MCMC fitting process |
set_autofit_control, | Control MCMC fitting process |
set_convergence_checks | Control MCMC fitting process |
se_d | Sample sizes to standard errors calculations |
se_d2se_logOR | Standard errors transformations |
se_d2se_r | Standard errors transformations |
se_d2se_z | Standard errors transformations |
se_logOR2se_d | Standard errors transformations |
se_logOR2se_r | Standard errors transformations |
se_logOR2se_z | Standard errors transformations |
se_r | Sample sizes to standard errors calculations |
se_r2se_d | Standard errors transformations |
se_r2se_logOR | Standard errors transformations |
se_r2se_z | Standard errors transformations |
se_z | Sample sizes to standard errors calculations |
se_z2se_d | Standard errors transformations |
se_z2se_logOR | Standard errors transformations |
se_z2se_r | Standard errors transformations |
standard_errors | Standard errors transformations |
summary.RoBMA | Summarize fitted RoBMA object |
update.RoBMA | Updates a fitted RoBMA object |
weighted_multivariate_normal | Weighted multivariate normal distribution |
weighted_normal | Weighted normal distribution |
z2d | Effect size transformations |
z2logOR | Effect size transformations |
z2OR | Effect size transformations |
z2r | Effect size transformations |
_PACKAGE | RoBMA: Robust Bayesian meta-analysis |